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Forensics 0.3b Wavlm Oc Softmax Deepfake Classifier model by eliya
⭐ 46.3
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Model

Forensics 0.3b Wavlm Oc Softmax Deepfake Classifier

by eliya eliya/forensics_0.3b_wavlm_oc_softmax_deepfake_classifier
Free2AITools Nexus Index
46.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 7
R: Recency 97
Q: Quality 65
Tech Context
0.3B Params
4.096K Ctx
Vital Performance
74 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 46.3 FNI Score
Tiny 0.3B Params
4k Context
74 Downloads
8G GPU ~2GB Est. VRAM
Dense DEEPFAKEDETECTOR Architecture
Restricted CC License
Model Information Summary
Entity Passport
Registry ID eliya/forensics_0.3b_wavlm_oc_softmax_deepfake_classifier
License CC-BY-NC-4.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{eliya_forensics_0_3b_wavlm_oc_softmax_deepfake_classifier,
  author = {eliya},
  title = {Forensics 0.3b Wavlm Oc Softmax Deepfake Classifier Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/eliya/forensics_0.3B_wavlm_oc_softmax_deepfake_classifier}},
  note = {Accessed via Free2AITools.}
}
APA Style
eliya. (2026). Forensics 0.3b Wavlm Oc Softmax Deepfake Classifier [Model]. Free2AITools. https://huggingface.co/eliya/forensics_0.3B_wavlm_oc_softmax_deepfake_classifier

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run forensics_0.3b_wavlm_oc_softmax_deepfake_classifier
πŸ€— HF Download
huggingface-cli download eliya/forensics_0.3b_wavlm_oc_softmax_deepfake_classifier

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 29
Popularity (P) 7
Recency (R) 97
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Forensics 0.3b Wavlm Oc Softmax Deepfake Classifier: Authority (A:29), Popularity (P:7), Recency (R:97), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Technical Deep Dive

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.

Social Proof

HuggingFace Hub
74Downloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--eliya--forensics_0.3b_wavlm_oc_softmax_deepfake_classifier
slug
eliya--forensics_0.3b_wavlm_oc_softmax_deepfake_classifier
source
huggingface
author
eliya
license
CC-BY-NC-4.0
tags
pytorch, wavlm-aasist-oc-softmax-deepfake-detector, audio-classification, deepfake-detection, anti-spoofing, speech, aasist, wavlm, oc-softmax, multilingual, arxiv:2110.13900, arxiv:2110.01200, arxiv:2010.13995, arxiv:2111.04433, arxiv:2507.21463, base_model:microsoft/wavlm-large, base_model:finetune:microsoft/wavlm-large, license:cc-by-nc-4.0, region:us

βš™οΈ Technical Specs

architecture
DeepfakeDetector
params billions
0.3
context length
4,096
pipeline tag
audio-classification
vram gb
1.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
74

Data indexed from public sources. Updated daily.